https://github.com/mtpatter/kaiba

Bootlier implementation for anomaly detection
https://github.com/mtpatter/kaiba

anomaly-detection jupyter notebook statistics

Last synced: 8 months ago
JSON representation

Bootlier implementation for anomaly detection

• Host: GitHub
• URL: https://github.com/mtpatter/kaiba
• Owner: mtpatter
• License: mit
• Created: 2017-11-21T03:25:51.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-12-06T02:19:12.000Z (over 8 years ago)
• Last Synced: 2025-03-01T22:29:08.766Z (over 1 year ago)
• Topics: anomaly-detection, jupyter, notebook, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 992 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
kaiba

=====

[![Docker Automated buil](https://img.shields.io/docker/automated/mtpatter/kaiba.svg)](https://hub.docker.com/r/mtpatter/kaiba/)

Bootlier implementation for anomaly detection

Build Docker container for notebooks with dependencies:

```

$ docker build -t "kaiba" .

```

Run Jupyter notebooks like this:

```

$ docker run -it --rm \

	-v $PWD:/home/jovyan/work:rw \

	-p 8888:8888 \

	kaiba

```